Statistical offices have often recourse to benchmarking methods for compiling quarterly national accounts (QNA). Benchmarking methods employ quarterly indicator series (i) to distribute annual, more reliable series of national accounts and (ii) to extrapolate the most recent quarters not yet...

Statistical offices have often recourse to benchmarking methods for compiling quarterly national accounts (QNA). Benchmarking methods employ quarterly indicator series (i) to distribute annual, more reliable series of national accounts and (ii) to extrapolate the most recent quarters not yet...

Benchmarking methods can be used to extrapolate (or 'nowcast') low-frequency benchmarks on the basis of available high-frequency indicators. Quarterly national accounts are a typical example, where a number of monthly and quarterly indicators of economic activity are used to calculate...

In the wake of the recent global crisis the international community is giving an increased focus on stability of the financial system, so-called financial stability analysis. With the increasing need for data sets to undertake this analysis, the question naturally arises as to what types of data...

This paper proposes a set of good practices for the revision of macroeconomic data. The authors argue that revisions are a routine part of disseminating quality data. Revisions are made not just to correct errors but also to incorporate better source data, update base periods, and make other...

Mobilization of national saving is an important determinant of investment and growth. It assumed greater importance in the case of the Iranian economy, given the difficult external environment. This paper discusses the recent saving performance of the Iranian economy, particularly in relation to...